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Mendeley readers
Attention Score in Context
| Title |
A Novel Deep Neural Network Model for Multi-Label Chronic Disease Prediction
|
|---|---|
| Published in |
Frontiers in Genetics, April 2019
|
| DOI | 10.3389/fgene.2019.00351 |
| Pubmed ID | |
| Authors |
Xiaoqing Zhang, Hongling Zhao, Shuo Zhang, Runzhi Li |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 20% |
| Student > Master | 12 | 16% |
| Researcher | 6 | 8% |
| Student > Doctoral Student | 5 | 7% |
| Other | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 27 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 32% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Agricultural and Biological Sciences | 3 | 4% |
| Engineering | 3 | 4% |
| Chemical Engineering | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 30 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 July 2021.
All research outputs
#7,656,930
of 23,310,485 outputs
Outputs from Frontiers in Genetics
#2,526
of 12,331 outputs
Outputs of similar age
#140,082
of 350,780 outputs
Outputs of similar age from Frontiers in Genetics
#98
of 320 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,331 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 350,780 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 320 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.